05Nov 2018


  • Physics Department, Faculty of Science, Ain Shams University,Abbasia,11566,Cairo,Egypt.
  • Military technical college head of biomedical engineering Dep.
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When human skin surface is illuminated by a coherence light, the interference of the resulting scattered wavelets present a particular intensity distribution, making the surface appear to be covered with a fine granular structure of dark and bright spots is known as a Bio-speckle patterns, (or signature). This signature can then be recorded by using a high digital CCD camera, which utilizes the micro-textures of skin to create a ?laser speckle image?. Intelligent Laser speckle technique permanently used for examining optical roughness of different surfaces with features dimensions in the range of visible light wavelength. Special parts of normal and diabetic human skin, also a model skin of silicon layers, and layers made of medical spray (Opsite-moisture vapour permeable spray dressing) on harmed skin has been used as test rough objects. Where skin surface roughness is an important parameter for early diagnostic of some diseases that are invisible to the human eye. Especially for diagnosis of the systemic diseases where the skin does not yet exhibit their visual effects by its surface changes. In this work, intelligent laser speckle optical technique was used to record different surface roughness with features dimensions of human skin and different types of model skin. This technique is simple where it composed of a laser source and a high-resolution CCD camera. This technique is fast and non-contact direct method based on laser speckle contrast measuring technique for detecting a micro-skin degree of roughness in-vivo.

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[Wafaa E. Ali, H. El Ghandoor, H. El- Henawi and Y. H. El Sharkawy (2018); DISCRIMINATION OF SKIN MICRO-TEXTURES USING INTELLIGENT LASER SPECKLE TECHNIQUE. Int. J. of Adv. Res. 6 (11). 210-222] (ISSN 2320-5407). www.journalijar.com

Hatem El Ghandoor
Professor of Laser Physics


Article DOI: 10.21474/IJAR01/7989       DOI URL: http://dx.doi.org/10.21474/IJAR01/7989

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